{"id":"W2557573525","doi":"10.1109/cec.2016.7744185","title":"Evolutionary semi-supervised rough categorization of brain signals from a wearable headband","year":2016,"lang":"en","type":"article","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Categorization; Computer science; Artificial intelligence; Wearable computer; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001617514,0.0004297337,0.0008483693,0.0009620631,0.0004398551,0.000921969,0.0007965291,0.0006122561,0.0005533374],"category_scores_gemma":[0.005608321,0.0002589515,0.0008391932,0.0004737753,0.0006877469,0.0006620577,0.0006017298,0.0007113802,0.0001866245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015975,"about_ca_system_score_gemma":0.0005666078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002014988,"about_ca_topic_score_gemma":0.001738976,"domain_scores_codex":[0.9992149,0.0002847703,0.00004954771,0.0001481992,0.00024116,0.00006134568],"domain_scores_gemma":[0.9976725,0.001201534,0.0002984077,0.0002592728,0.0005076787,0.00006051581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002090817,0.000118687,0.003002926,0.0001262738,0.0001053031,0.0001545904,0.0004391818,0.8089458,0.01419597,0.009287593,0.000755734,0.1626589],"study_design_scores_gemma":[0.000003729326,0.00005235176,0.0009800972,0.000007056012,0.000006770065,0.00003092497,0.00004180523,0.9928578,0.001650866,0.004149383,0.0002086595,0.00001051382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1109559,0.00009461975,0.8878369,0.0001290125,0.00001686663,0.00004162254,0.00004643844,0.0001539849,0.0007246087],"genre_scores_gemma":[0.7637157,0.00006501342,0.2347001,0.00004986787,0.00001937119,0.00009103618,0.0002073837,0.00003184739,0.001119612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002014988,"threshold_uncertainty_score":0.008554399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145402473907886,"score_gpt":0.2130020172256546,"score_spread":0.198461769834866,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}